IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Determinants of Obesity in Turkey: A Quantile Regression Analysis from a Developing Country

Listed author(s):
  • Karaoğlan, Deniz

    ()

    (Bahcesehir University)

  • Tansel, Aysit

    ()

    (Middle East Technical University)

This study investigates the factors that may influence the obesity in Turkey which is a developing country by implementing Quantile Regression (QR) methodology. The control factors that we consider are education, labor market outcomes, household income, age, gender, region and marital status. The analysis is conducted by using the 2008, 2010 and 2012 waves of the Turkish Health Survey (THS) prepared by the Turkish Statistical Institute (TURKSTAT). The obesity indicator in our study is the individual's Body Mass Index (BMI). QR regression results provide robust evidence that additional years of schooling has negative effect on individual's BMI and this effect significantly raises across different quantiles of BMI. QR results also indicate that males tend to have higher BMI at lower quantiles of BMI, whereas females have higher BMI at the top quantiles. This implies that females have higher tendency to be obese in Turkey. Our findings also imply that the positive effect of age on individual's BMI levels raises across the quantiles at a decreasing rate. In addition, the effect of living in urban or rural areas do not significantly differ at the highest quantile distributions of BMI. Our results also reveal that the negative effect of being single on BMI increases gradually in absolute value across the quantiles of BMI implying that single individuals have less tendency to be obese or overweight compared to the married or widowed/divorced individuals. Moreover, the negative effect of being in labor force on individual's BMI increases across the quantiles of BMI implying that an individual is more likely to be obese if he/she is out of labor force. Finally, the impact of household income on BMI is positive and significant at all quantiles.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://ftp.iza.org/dp10491.pdf
Download Restriction: no

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 10491.

as
in new window

Length: 20 pages
Date of creation: Jan 2017
Handle: RePEc:iza:izadps:dp10491
Contact details of provider: Postal:
IZA, P.O. Box 7240, D-53072 Bonn, Germany

Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org

Order Information: Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Email:


References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Atella, Vincenzo & Pace, Noemi & Vuri, Daniela, 2008. "Are employers discriminating with respect to weight?: European Evidence using Quantile Regression," Economics & Human Biology, Elsevier, vol. 6(3), pages 305-329, December.
  2. García Villar, Jaume & Quintana-Domeque, Climent, 2009. "Income and body mass index in Europe," Economics & Human Biology, Elsevier, vol. 7(1), pages 73-83, March.
  3. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
  4. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
  5. Costa-Font, Joan & Fabbri, Daniele & Gil, Joan, 2009. "Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis," Economics & Human Biology, Elsevier, vol. 7(3), pages 351-365, December.
  6. Giorgio Brunello & Daniele Fabbri & Margherita Fort, 2013. "The Causal Effect of Education on Body Mass: Evidence from Europe," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 195-223.
  7. Arendt, Jacob Nielsen, 2005. "Does education cause better health? A panel data analysis using school reforms for identification," Economics of Education Review, Elsevier, vol. 24(2), pages 149-160, April.
  8. Jürges, Hendrik & Reinhold, Steffen & Salm, Martin, 2011. "Does schooling affect health behavior? Evidence from the educational expansion in Western Germany," Economics of Education Review, Elsevier, vol. 30(5), pages 862-872, October.
  9. Aysit Tansel & Deniz Karaoglan, 2014. "Health Behaviors and Education in Turkey," ERC Working Papers 1406, ERC - Economic Research Center, Middle East Technical University, revised Jun 2014.
  10. Resul Cesur & Bahadir Dursun & Naci Mocan, 2014. "The Impact of Education on Health and Health Behavior in a Middle-Income, Low-Education Country," NBER Working Papers 20764, National Bureau of Economic Research, Inc.
  11. Kemptner, Daniel & Jürges, Hendrik & Reinhold, Steffen, 2011. "Changes in compulsory schooling and the causal effect of education on health: Evidence from Germany," Journal of Health Economics, Elsevier, vol. 30(2), pages 340-354, March.
  12. Rosen, Allison B. & Stewart, Susan T. & Cutler, David M., 2009. "Forecasting the Effects of Obesity and Smoking on U.S. Life Expectancy," Scholarly Articles 5344184, Harvard University Department of Economics.
  13. Webbink, Dinand & Martin, Nicholas G. & Visscher, Peter M., 2010. "Does education reduce the probability of being overweight?," Journal of Health Economics, Elsevier, vol. 29(1), pages 29-38, January.
  14. Tomas J. Philipson & Richard A. Posner, 2008. "Is the Obesity Epidemic a Public Health Problem? A Review of Zoltan J. Acs and Alan Lyles's Obesity, Business and Public Policy," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 974-982, December.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp10491. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.